AY 2018 GT Topic Assignments の履歴(No.5)

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• AY 2018 GT Topic Assignments へ行く。
  • 1 (2018-04-11 (水) 02:05:21)
  • 2 (2018-04-11 (水) 04:07:41)
  • 3 (2018-05-01 (火) 10:22:41)
  • 4 (2018-05-15 (火) 06:48:22)
  • 5 (2018-05-16 (水) 02:15:37)
  • 6 (2018-05-17 (木) 02:37:42)
  • 7 (2018-05-30 (水) 08:23:09)
  • 8 (2018-06-04 (月) 10:16:58)
  • 9 (2018-06-22 (金) 03:44:10)

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NASH Project - http://adaptive.u-aizu.ac.jp/aslint/index.php?NASH&aname(ab7b22b9,super,full,nouserselect){†};

1. Hardware Acceleration of Character Recognition with Deep Neural-Network†

s1230014 B4 Yoshiki Tanaka

• Reference

2. Design of a Clustered-Neuron Core based on LIF Spiking Neuron Model†

• Reference

3. Performance Study of a Neuro-inspired Architecture in Hardware†

• Reference

Smart Drone/Veicule Project: GT/MT Topics†

Create an experimental environment using open source Autoware platform that realizes automatic operation.

Tasks:

• Development of a compact vehicle on which various sensors can be placed
• Creation of ROS module connecting sensor and Autoware,
• Electronic control of the produced vehicle

• Kalman Filter
• PID control

Using arithmetic operations using Spiking Neural Network (SNN) Perform the following control.

• Brushless motor control
• Servo control
• Kalman Filter
• PID control

Although the camera is the most information quantity device among the sensors, the throughput also increases. Make algorithms with as little processing time and processing time as possible.

• SVO: Posture estimation using camera
• SLAM: Simultaneous execution of self location estimation and cartography